Evidence map›Paper›PMID 37632796›Full record

Observational studyJMIR dermatology2021

Public Interest in a Potentially Harmful, Non-Evidence-Based "Wellness" Practice: Cross-Sectional Analysis of Perineum Sunning.

Ryan Ottwell, Micah Hartwell, Tracy Beswick, Taylor Calli Rogers, Heather Ivy, Marcus Goodman, Matt Vassar

Abstract readObservational Study
In one paragraph

Observational study in JMIR dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ryan Ottwell *Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID 0000-0002-6574-2844
Micah Hartwell *Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID 0000-0001-6810-6571
Tracy Beswick *Center for Dermatology, Tulsa, OK, United States.ORCID 0000-0003-0986-9151
Taylor Calli Rogers *Oklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID 0000-0002-9796-5364
Heather Ivy *Philadelphia College of Osteopathic Medicine, Roswell, GA, United States.ORCID 0000-0003-2345-3857
Marcus Goodman *Goodman Dermatology, Roswell, GA, United States.ORCID 0000-0001-5272-7496
Matt VassarOklahoma State University Center for Health Sciences, Tulsa, OK, United States.ORCID 0000-0003-2859-6152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerineum sunning/tanning is a potentially harmful yet popular new health trend cultivated by a viral social media post, famous public figures, and subsequent media coverage.

objectiveOur primary objective is to evaluate public interest in perineum sunning/tanning.

methodsUsing an observational study design, we extracted data from Google Trends for the terms "perineum sunning," "perineum tanning," "Metaphysical Meagan," and "Josh Brolin"; and Twitter (via SproutSocial) for "perineum sunning" and "perineum tanning" from November 1, 2019, to December 31, 2019. UberSuggest was used to investigate monthly search volumes and user engagement. We used data from Google Trends and Twitter to construct autoregressive integrated moving average (ARIMA) models to forecast public interest in perineum sunning and perineum tanning had the post on social media never occurred. Next, we performed an integral function to calculate the cumulative increase in "perineum tanning" from the day after the post occurred to the end of the year as the area between the forecasted values and the actual values. Using Welch t tests, we compared forecasted and actual values for "perineum sunning" and "perineum tanning" using Twitter and Google Trends data over 1-, 2-, and 4-week periods after the social media post to determine if the increased volumes were statistically significant over time. Lastly, we monitored Google Trends for "perineum sunning" and "perineum tanning" through September 30, 2020, to capture trends during the summer months.

resultsBefore the Instagram post went viral, there was no search interest in perineum sunning. ARIMA modeling for perineum tanning forecasted no increase in searches (0.00) if the post had not gone viral, while actual interest conveyed a relative cumulative increase of 919.00% from the day the post went viral through December 31, 2020. The term "perineum sunning" was mentioned on average 804 (SD 766.1) times daily for this 7-day period, which was also significantly higher than predicted (P≤.03), totaling 5628 tweets for these 7 days. The increased volume of tweets and relative search interest from Google Trends remained significantly higher for both terms over the 1-, 2-, and 4-week intervals. User engagement showed that nearly 50% of people who searched for "perineum sunning" were likely to click a returned link for more information. Continued observance of search interest in perineum sunning demonstrated interest spikes in the summer months, June and July 2020.

conclusionsGoogle Trends and Twitter data demonstrated that one social media post claiming non-evidence-based health benefits of regular sun exposure-without the use of sunscreen-generated significant public interest. Medical journals, dermatologists, and other health care professionals are obligated to educate and correct public misperceptions about viral wellness trends such as perineum sunning.

Indexed as

PerineumSocial MediaSunbathingCross-Sectional StudiesHumansPublic Opiniongeneral dermatologyGoogle Trendsinfodemiologyperineum sunningperineum tanningpublic healthpublic interestskin neoplasmsocial mediaTwitter

Identifiers

PMID37632796
PMCPMC10501511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.